It's my understanding that when calculating quantiles in R, the entire dataset is scanned and the value for each quantile is determined. If you ask for .8, for example it will give you a value th...

I have a dataframe obs with 145 rowns and more than 1000 columns. For each row I would like to extract the value of the 95th percentile but calculated only on the data greater or equal to 1. I ma...

I'm trying to replicate some Matlab code in python. I could not find an exact equivalent to the Matlab function quantile. What I found most close is python's mquantiles. Matlab example: quantile( ...

Main question: Suppose you have a discrete, finite data set $d$. Then the command summary(d) returns the Min, 1st quartile, Median, mean, 3rd quartile, and max. My question is: what formula does R ...

I am using the quantreg package to run the following quantile regression in R: bank <-rq(gekX~laggekVIXclose+laggekliquidityspread+lagdiffthreeMTBILL+ lagdiffslopeyieldcurve+lagdiffcreditspread...

How can I nest a quantile() within a tapply() in R Studio? Given: tapply(data$x,data$y, quantile) This works, but it delivers standard quin-tiles. I want to choose custom percentiles. How can I...

My limited understanding is quantile and quartile are some sort of similar but totally different ways of measurement. I googled but could not find an easy to understand explanation. There is a D3 r...

The current quantile scale takes all the input values as the domain to map the output range. But if the data is extremely large, I want the processing to happen on the server giving me the quartile...

I've encountered an interesting situation while calculating the inter-quartile range. Assuming we have a dataframe such as: import pandas as pd index=pd.date_range('2014 01 01',periods=10,freq='D...

See edit below Using R, I would like to filter a matrix (of gene expression data) and keep only the rows (genes/probes) that have values with high variance. For example, I'd like to only keep the r...

My code is based on the methods described here and here. def fraction?(number) number - number.truncate end def percentile(param_array, percentage) another_array = param_array.to_a.sort r = pe...

In Stata, is it possible to plot quantile regression lines? I know a standard OLS regression line can be added to a scatter plot but it isn't clear to me how to add other types of regression lines....

Judging from the documentation boost seems to offer quantile functions (inverse cdf functions) for both normal and gamma distributions, but its not clear for me how can I actually use them. Could s...

Using R, and package quantreg, I am performing quantile regression analyses to my data. I can get access to the p-values using the se (standard error) estimator in the summary function, as below, ...

i´d like to assign factors representing quantiles. Thus I need them to be numeric. That´s why I wrote the following function, which is basically the answer to my problem: qdum <- function(v,q)...